P2 w2
問題一覧
1
is a sampling technique where a teacher sets a selection of a few criteria and chooses members of a population randomly
Probability Sampling
2
It is a reliable method of obtaining information where every single member of a population is chosen randomly.
Simple Random Sampling
3
is a method where the researchers divide the entire population into sections or clusters that represent a populationClusters are identified and included in a sample based on demographic parameters
Cluster Sampling
4
It is used to choose sample members of a population at regular intervalsIt requires the selection of starting point for the sample and sample size that can be repeated at regular intervals
Systematic Sampling
5
is a method in which the researcher divides the population into smaller groups that do not overlap but represent the entire population
Stratified Random Sampling
6
This sampling is not a fixed or predefined selection processThis makes it difficult for all population elements to have equal opportunities to be included in a sample.
Non-Probability Sampling
7
This technique is dependent on the ease of access to subjects such as surveying customers
Convenience Sampling
8
The researcher purely considers the purpose of the study, along with the understanding of the target audience.
Purposive Sampling
9
sampling technique that researchers apply when the subjects are difficult to trace
Snowball Sampling
10
The selection of members in this sampling technique happens based on a pre-set standardIn this case, as a sample is formed based on specific attributesthe created sample will have the same qualities found in the total population
Quota Sampling
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12問 • 1年前問題一覧
1
is a sampling technique where a teacher sets a selection of a few criteria and chooses members of a population randomly
Probability Sampling
2
It is a reliable method of obtaining information where every single member of a population is chosen randomly.
Simple Random Sampling
3
is a method where the researchers divide the entire population into sections or clusters that represent a populationClusters are identified and included in a sample based on demographic parameters
Cluster Sampling
4
It is used to choose sample members of a population at regular intervalsIt requires the selection of starting point for the sample and sample size that can be repeated at regular intervals
Systematic Sampling
5
is a method in which the researcher divides the population into smaller groups that do not overlap but represent the entire population
Stratified Random Sampling
6
This sampling is not a fixed or predefined selection processThis makes it difficult for all population elements to have equal opportunities to be included in a sample.
Non-Probability Sampling
7
This technique is dependent on the ease of access to subjects such as surveying customers
Convenience Sampling
8
The researcher purely considers the purpose of the study, along with the understanding of the target audience.
Purposive Sampling
9
sampling technique that researchers apply when the subjects are difficult to trace
Snowball Sampling
10
The selection of members in this sampling technique happens based on a pre-set standardIn this case, as a sample is formed based on specific attributesthe created sample will have the same qualities found in the total population
Quota Sampling